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Data, Engineering and Applications Volume 1 /

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of...

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Corporate Author:	SpringerLink (Online service)
Other Authors:	Shukla, Rajesh Kumar. (Editor, http://id.loc.gov/vocabulary/relators/edt), Agrawal, Jitendra. (Editor, http://id.loc.gov/vocabulary/relators/edt), Sharma, Sanjeev. (Editor, http://id.loc.gov/vocabulary/relators/edt), Singh Tomer, Geetam. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2019.
Edition:	1st ed. 2019.
Subjects:	Big data. Data mining. Artificial intelligence. Big Data. Data Mining and Knowledge Discovery. Artificial Intelligence.
Online Access:	https://doi.org/10.1007/978-981-13-6347-4

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